Data Engineer Intern
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 31, 2026. Fire Work scores A on the Alion truth index.
About Firework
Join Firework - Where Innovation Meets Impact
Firework is redefining the future of commerce as an AI and video commerce company - combining cutting-edge technology, an exclusive network of enterprise brands and retailers, and a first-mover position to win the agentic commerce race.
We've built the world's most advanced and largest video commerce platform, trusted by global brands and leading retailers. But we're more than software - our compounding network effect grows stronger with every partner we add, bringing the energy of in-store experiences online and transforming how businesses engage, convert, and build lasting customer relationships at scale.
Having raised over $235M to date, led by investors such as SoftBank Vision Fund 2, and operating at global scale, we offer unparalleled opportunities to solve complex challenges and drive meaningful impact in the future of connected commerce.
If you're curious, ambitious, and energized by big ideas - Firework is the place to grow, lead, and shape what comes next. Together.
Summary
We are seeking a motivated and curious Data Engineer Intern to join our engineering team and gain hands-on experience building and maintaining data infrastructure. In this role, you will work alongside experienced engineers to support the development of data pipelines, data processing systems, and analytics tools that power business intelligence, product development, and data-driven decision-making across the organization.
The ideal candidate has a strong foundation in programming and data concepts, enjoys solving technical challenges, and is eager to learn about modern data engineering technologies and best practices.
This internship offers an opportunity to work on meaningful projects, gain exposure to real-world data systems, and develop technical skills in a collaborative, fast-paced environment.
What you'll be doing
Assist in designing, developing, and maintaining data pipelines and infrastructure that support analytics, business intelligence, and machine learning applications
Support the development of ETL/ELT processes to collect, transform, and organize data from various sources
Write and optimize SQL queries and Python scripts to support data processing, reporting, and analysis
Collaborate with data engineers, software engineers, and analytics teams to improve data accessibility, quality, and reliability
Help build and maintain data tools and dashboards that provide actionable insights into business and product performance
Gain hands-on experience with cloud-based data infrastructure, data warehouses, and modern data processing technologies
Assist in troubleshooting data pipeline issues, identifying performance improvements, and implementing solutions with guidance from senior engineers
Participate in code reviews, technical discussions, and team meetings while learning engineering best practices
Document data processes, workflows, and technical solutions to support ongoing development and knowledge sharing
We'll be excited if you have
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field
Foundational knowledge of Python and SQL, including experience writing queries, manipulating data, or developing scripts through coursework, projects, or internships
Basic understanding of databases, data structures, and data processing concepts
Familiarity with ETL/ELT processes, data pipelines, or data warehousing concepts
Interest in learning modern AI and data technologies such as Claude, Snowflake, BigQuery, Apache Spark, Flink, or Apache Airflow
Strong analytical and problem-solving skills, with attention to detail and a willingness to learn
Good communication and collaboration skills, with the ability to work effectively in a team environment
A proactive attitude, intellectual curiosity, and enthusiasm for working with data and emerging technologies
Previous technical projects, relevant coursework, or internship experience in data engineering, software development, or analytics is a plus, but not required